Factors influencing peer learning and performance in MOOC asynchronous online discussion forum

Most studies on traditional asynchronous online discussion suggest that facilitating dialogue, that is, commenting forum activities, result in better learning and performance. However, due to open entry and diverse learner backgrounds, learner behaviour in massive open online courses (MOOCs) may be different. Viewing forum messages, which involves fewer mental and physical actions as well as less cognitive processing, rather than posting forum massages, might better match the learner’s study purpose. In this study, we investigated the effects of three common types of online MOOC discussion forum activities (viewing, voting and commenting) on student peer learning (peer reviews) and performance (quiz scores). We used stepwise regression models to analyse two data samples of a humanity and art MOOC provided by a private university in the United States for exploring factors influencing peer learning and performance. The results indicate that peer learning and performance were primarily predicted by viewing, and to a lesser extent by commenting. The three plausible explanations for the findings are the learner’s study purpose, weaker instructor-learner ties, and voluntary forum participation. We suggest ways to encourage viewing messages in forums and present limitations and further directions.

[1]  H. Fournier,et al.  New dimensions to self-directed learning in an open networked learning environment , 2012 .

[2]  René F. Kizilcec,et al.  Showing face in video instruction: effects on information retention, visual attention, and affect , 2014, CHI.

[3]  Wilfried Admiraal,et al.  Design principles and outcomes of peer assessment in higher education , 2006 .

[4]  Matthieu Cisel,et al.  Analyzing Completion Rates in the First French xMOOC , 2014 .

[5]  Jon Billsberry MOOCs Fad or Revolution , 2013 .

[6]  Hangjung Zo,et al.  Understanding the MOOCs continuance: The role of openness and reputation , 2015, Comput. Educ..

[7]  James D. Klein,et al.  Type of Positive Interdependence and Affiliation Motive in an Asynchronous, Collaborative Learning Environment , 2006 .

[8]  Jahangir Karimi,et al.  Student engagement in course-based social networks: The impact of instructor credibility and use of communication , 2015, Comput. Educ..

[9]  Ming Ming Chiu,et al.  Online Discussion Processes: Effects of Earlier Messages' Evaluations, Knowledge Content, Social Cues and Personal Information on Later Messages , 2006, ICALT.

[10]  D. Randy Garrison,et al.  The first decade of the community of inquiry framework: A retrospective , 2010, Internet High. Educ..

[11]  Selma Vonderwell,et al.  An examination of asynchronous communication experiences and perspectives of students in an online course: a case study , 2003, Internet High. Educ..

[12]  Linda Corrin,et al.  Visualizing patterns of student engagement and performance in MOOCs , 2014, LAK.

[13]  Carolyn Penstein Rosé,et al.  Exploring the Effect of Confusion in Discussion Forums of Massive Open Online Courses , 2015, L@S.

[14]  Antoine Doucet,et al.  Building engagement for MOOC students: introducing support for time management on online learning platforms , 2014, WWW.

[15]  Sunghee Shin,et al.  The effects of different instructor facilitation approaches on students' interactions during asynchronous online discussions , 2009, Comput. Educ..

[16]  Toru Iiyoshi,et al.  Opening Up Education: The Collective Advancement of Education through Open Technology, Open Content, and Open Knowledge , 2008 .

[17]  Jane Sinclair,et al.  Dropout rates of massive open online courses : behavioural patterns , 2014 .

[18]  Thomas Clarke,et al.  The advance of the MOOCs (massive open online courses) : The impending globalisation of business education? , 2013 .

[19]  K. Hew,et al.  Students’ and instructors’ use of massive open online courses (MOOCs): Motivations and challenges , 2014 .

[20]  George Siemens,et al.  The MOOC model for digital practice , 2010 .

[21]  Kristy Elizabeth Boyer,et al.  Unsupervised modeling for understanding MOOC discussion forums: a learning analytics approach , 2015, LAK.

[22]  Myint Swe Khine,et al.  The Quality of Message Ideas, Thinking and Interaction in an Asynchronous CMC Environment , 2003 .

[23]  Khe Foon Hew,et al.  Evaluating the Extent of Ill-Structured Problem Solving Process among Pre-Service Teachers in an Asynchronous Online Discussion and Reflection Log Learning Environment , 2004 .

[24]  Khe Foon Hew,et al.  Student contribution in asynchronous online discussion: a review of the research and empirical exploration , 2010 .

[25]  Margaret Mazzolini,et al.  When to jump in: The role of the instructor in online discussion forums , 2007, Comput. Educ..

[26]  Henry C. Lucas Can the Current Model of Higher Education Survive MOOCs and Online Learning , 2013 .

[27]  Skills The Maturing of the MOOC : Literature Review of Massive Open Online Courses and other Forms of Online Distance Learning , 2013 .

[28]  Pin-Ju Chen,et al.  MOOC study group: Facilitation strategies, influential factors, and student perceived gains , 2015, Comput. Educ..

[29]  Gudrun Oberprieler,et al.  Encouraging equitable online participation through curriculum articulation , 2004, Comput. Educ..

[30]  Linda Harasim,et al.  Collaborating in Cyberspace: Using Computer Conferences as a Group Learning Environment , 1993, Interact. Learn. Environ..

[31]  Rebecca Eynon,et al.  Communication patterns in massively open online courses , 2014, Internet High. Educ..

[32]  Thomas K. F. Chiu,et al.  Learner expertise and mathematics different order thinking skills in multimedia learning , 2017, Comput. Educ..

[33]  Steve Joordens,et al.  Assessing the effectiveness of a voluntary online discussion forum on improving students' course performance , 2011, Comput. Educ..

[34]  Daniel Churchill,et al.  Exploring the characteristics of an optimal design of digital materials for concept learning in mathematics: Multimedia learning and variation theory , 2015, Comput. Educ..

[35]  Jennifer C. Richardson,et al.  A Constructivist Approach to Online Learning: The Community of Inquiry Framework , 2009 .

[36]  Daniel Churchill,et al.  Adoption of mobile devices in teaching: changes in teacher beliefs, attitudes and anxiety , 2016, Interact. Learn. Environ..

[37]  Steve Joordens,et al.  Peering into large lectures: examining peer and expert mark agreement using peerScholar, an online peer assessment tool , 2008, J. Comput. Assist. Learn..

[38]  Bernard J. Jansen,et al.  An Analysis of MOOC Discussion Forum Interactions from the Most Active Users , 2015, SBP.

[39]  Seungwhan Moon,et al.  Identifying Student Leaders from MOOC Discussion Forums through Language Influence , 2014, EMNLP 2014.

[40]  Qiyun Wang,et al.  Student-facilitators' roles in moderating online discussions , 2008, Br. J. Educ. Technol..

[41]  Fengfeng Ke,et al.  The effect of peer feedback for blogging on college students' reflective learning processes , 2008, Internet High. Educ..

[42]  Vanessa P. Dennen,et al.  From Message Posting to Learning Dialogues: Factors affecting learner participation in asynchronous discussion , 2005 .

[43]  Laxmisha Rai,et al.  Influencing Factors of Success and Failure in MOOC and General Analysis of Learner Behavior , 2016 .

[44]  Ulrik Schroeder,et al.  A Cluster Analysis of MOOC Stakeholder Perspectives , 2015, International Journal of Educational Technology in Higher Education.

[45]  Martin Oliver,et al.  Asynchronous Discussion in Support of Medical Education , 2019 .

[46]  Björn Hartmann,et al.  Should your MOOC forum use a reputation system? , 2014, CSCW.

[47]  Daniel Churchill,et al.  Design of learning objects for concept learning: effects of multimedia learning principles and an instructional approach , 2016, Interact. Learn. Environ..

[48]  David E. Pritchard,et al.  Studying Learning in the Worldwide Classroom Research into edX's First MOOC. , 2013 .

[49]  Shuangzhe Liu,et al.  Regression diagnostics , 2020, Applied Quantitative Analysis for Real Estate.